PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research

TL;DR

This paper introduces PAGE, a new, AI-generated emotion perception test that is quick, valid, and capable of predicting managerial contributions to team success, with potential for automated assessment development.

Contribution

The paper presents a novel, AI-generated emotion perception measure with validated psychometric properties and demonstrated predictive validity for managerial effectiveness.

Findings

PAGE has strong convergent validity.

PAGE predicts managers' contributions to team success.

The test is brief, cost-effective, and adaptable using Generative AI.

Abstract

This paper presents a new measure of emotional perceptiveness called PAGE: Perceiving AI Generated Emotions. The test includes a broad range of emotions, expressed by ethnically diverse faces, spanning a wide range of ages. We created stimuli with Generative AI, demonstrating the potential to build customizable assessments of emotional intelligence at relatively low cost. Study 1 describes the validation of the image set and test construction. Study 2 reports the psychometric properties of the test. Despite its brevity - 8 minutes on average - PAGE has strong convergent validity and moderately higher internal consistency than comparable measures. Study 3 explores predictive validity using a lab experiment in which we causally identify the contributions managers make to teams. PAGE scores strongly predict managers causal contributions to group success, a finding which is robust to controlling for personality and demographic characteristics. We also discussed the potential of Generative AI to automate development of non-cognitive skill assessments.